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Although rarely reported, esophageal lichen planus is a chronic inflammatory disease that can lead to debilitating symptoms. It is reported to affect adult women in the fourth and fifth decades of life. Treatment ranges from medical therapy to endoscopic dilation. Owing to underdiagnoses and limited data on therapies, little guidance is provided in the literature regarding treatment of refractory cases. We report a case of a 68-year-old woman with esophageal lichen planus who had symptoms and lack of histological improvement despite being on budesonide and mycophenolate. She was then transitioned to upadacitinib 30 mg daily and had significant symptomatic and endoscopic improvement.

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The construction of a high-performance photocathode is essential for improving Li-O2 battery performance and solar energy utilization. However, the single pore and few active reaction sites of the photocathode result in insufficient discharge capacity and unsatisfactory cycling durability. Herein, we designed and fabricated a self-standing 3D-printed multi-pore graphene-based photocathode via direct ink writing (DIW) featuring non-competitive three-phase transmission channels to promote the transport of Li+, e-, and O2. The macropore provides adequate space for storage of the Li2O2 discharge product; the mesopore facilitates the reactant transport, while the micropore stores the active ions. Furthermore, the photogenerated carriers of the photocathode promote overpotential reduction. Under illumination, the charging voltage of the Li-O2 battery with a reduced graphene oxide/titanium dioxide (rGO/TiO2) photocathode is decreased from 4.55 V to 3.77 V, and the battery exhibits stable cycling for 1000 hours. Notably, the photocathode's pore structure and specific surface area are further optimized after adding carbon nanotubes (CNTs). Compared with rGO/TiO2, the specific surface area of reduced graphene oxide/titanium dioxide/carbon nanotubes (rGO/TiO2/CNTs) is increased by 12 times to 194.13 m2 g-1, and the discharge capacity can reach up to 33.37 mA h cm-2. This self-standing 3D-printed photocathode structure paves a new way for developing high-performance energy storage systems.

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Parathyroid cyst is a rare entity that can closely mimic thyroid and brachial cleft cysts, particularly when located within the thyroid gland. Most commonly, the cysts are non-functional but can produce compressive symptoms. The cyst contains watery content with elevated PTH levels, specifying parathyroid origin1. Parathyroid cysts should be considered in the differential in patients with a neck mass. This study describes a rare case of a middle-aged woman with a history of a symptomatic intrathyroidal parathyroid cyst discovered intraoperatively.

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INTRODUCTION: COVID-19 has been associated with several adverse pregnancy outcomes, including perinatal loss. Differential effects of COVID-19 in a twin pregnancy may provide unique insights into virus-placental interactions. We present a case of perinatal loss of a female fetus with survival of the male co-twin in a pregnancy complicated by COVID-19 and premature delivery. METHODS: Viral detection methods recommended by the NICHD task force were used to identify SARS-CoV-2 and its viral receptors in the placentas and fetal tissue (Antoun et al., 2020) [1] RESULTS: Compared with the surviving twin, we found a more severe intervillous necrosis and a relatively low detection of ACE2 membranous expression in the syncytiotrophoblasts of the female twin that succumbed. DISCUSSION: The interactions of SARS-CoV-2 and ACE2 at the maternal fetal interface within the placenta may play a significant role in perinatal loss, and the effects of fetal sex and gestational age at time of infection need to be explored further.

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Dual-electrolyte Li-air batteries (LABs) have the advantages of high specific energy density and low overpotential, but the mass transfer mechanism is still unclear. Mass transfer is essential to battery performance. To improve the mass transfer capability of the positive electrode, this research studied the effect of boron (B)-doped carbon nanotubes (BC3NTs) with different amounts of defects as positive electrodes. Deep discharge results showed that the discharge voltage platform of BC3NTs was higher than that of CNTs, and the more defects, the higher the discharge voltage platform. The electrochemical impedance spectroscopy (EIS) results also showed that the more defects, the smaller the charge transfer resistance. As the discharge current density increased, the discharge voltage platform decreased gradually. Traditional molecular dynamics calculation results showed that the topological defects caused by BC3NTs reduced the Li+ and O2 diffusion energy barriers from the sidewalls from 4.5 eV to 1.65 eV and 4.94 eV to 0.11 eV, respectively. The diffusion capabilities of Li+ and O2 in BC3NTs were improved, and at the same concentration, the diffusion coefficients of Li+ and O2 increase to 3.0 × 10-9 m2 s-1 and 0.415 × 10-9 m2 s-1, respectively. The radial distribution function results showed that the larger the topological defect ring was, the greater the probability of finding Li+ and O2 near the electrode. In summary, the defects produced by BC3NTs were conducive to mass transfer, which could reduce polarization and impedance, and improve battery performance.

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Models that accurately estimate maximum crop biomass to obtain a reliable forecast of yield are useful in crop improvement programs and aiding establishment of government policies, including those addressing issues of food security. Here, we present a new sigmoidal growth model (NSG) and compare its performance with the beta sigmoidal growth model (BSG) for capturing the growth trajectories of eight crop species. Results indicated that both the NSG and the BSG fitted all the growth datasets well (R2 > 0.98). However, the NSG performed better than the BSG based on the calculated value of Akaike's information criterion (AIC). The NSG provided a consistent estimate for when maximum biomass occurred; this suggests that the parameters of the BSG may have less biological importance as compared to those in the NSG. In summary, the new sigmoidal growth model is superior to the beta sigmoidal growth model, which can be applied to capture the growth trajectory of various plant species regardless of the initial biomass values at the beginning of a growth period. Findings of this study will be helpful to understand the growth trajectory of different plant species regardless of their initial biomass values at the beginning of a growth period.

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Semiconductor detector is widely used in energy dispersive X-ray fluorescence measurements due to its excellent performance. In this paper, Si-PIN and CdTe semiconductor detectors were studied, performances of the two detectors were compared in material properties, detection efficiency, energy resolution and other aspects. Focused on the performance of the detectors influenced by the thickness of detector sensitive area, energy of incident X-ray, shaping time of post-stage circuit, and analyzed the differences of energy spectrum caused by escape peaks and hole trailing. Aiming at the problem of incomplete hole collection in detector, a digital multi-channel analyzer (DMCA) based on FPGA with rise-time discriminator was designed, it could reduce the influence of hole trailing effectively and improve energy resolution. The experimentation results indicate that the detection efficiency of Si-PIN and CdTe is roughly equal when energy is below 15 keV while CdTe has much higher detection efficiency than Si-PIN when energy is above 15 keV. The optimum forming time of the Si-PIN detector is about 10 µs, and the CdTe detector is about 2.6 µs, so the CdTe detector is more suitable for the high count rate condition. Si-PIN detector has better energy resolution than CdTe detector for different energy incident X-ray. CdTe detector has obvious hole tailing effect and the energy resolution of CdTe detector is significantly improved by using DMCA with rise-time discrimination.

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BACKGROUND: Progenipoietin-4 (ProGP-4) is an E. coli derived chimeric growth factor that activates the human Flt3 and G-CSF receptors. ProGP-4 possesses cross-species activity and treatment of mice with ProGP-4 results in increases in the number of WBC and Class II+/CD11c+ cells in both spleen and peripheral blood. Herein, we report morphologic, phenotypic and functional evaluation of Class II+/CD11c+ cells generated by in vivo administration of ProGP-4. MATERIAL/METHODS: C57BL/6 mice were injected daily with ProGP for 7 to 18 days. Leukocytes from spleen and peripheral blood were analyzed by flow cytometry to enumerate and characterize changes in DC populations. Spleens from ProGP treated mice were evaluated by immunocytochemistry and enriched CD11c+ populations were functionally assessed in a mixed lymphocyte assay and in an antigen dependent CTL assay. RESULTS: Administration of this dual receptor agonist to mice resulted in dose-dependent increases in the numbers of total white blood cells and Class II+/CD11c+ cells in spleen and peripheral blood. CD11c+ cells from ProGP-4 treated mice co-expressed DEC205 and also expressed CD80, CD86 and CD40, albeit at lower levels as compared to Class II+/CD11c+ cells from untreated animals. Despite lower co-stimulatory molecule expression, ProGP-4-generated Class II+/CD11c+ cells stimulated proliferation of allogeneic T cells and an antigen-specific T cell hybridoma as efficiently as bone marrow derived dendritic cells from untreated mice. CONCLUSIONS: The data presented in this report highlight the ability of E. coli derived ProGP-4 to expand large numbers of functional DC in the peripheral blood and lymphoid organs in vivo using a rodent model of hematopoiesis. E. coli derived chimeric receptor agonists such as ProGP-4 may enable further investigations of immunotherapeutic approaches to the treatment of diseases such as cancer and autoimmunity.

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